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Introduction to Artificial Intelligence (Part — 1) Early Concepts of AI The Rise of Machine Learning Deep Learning and Neural Networks The Way forward for AI Kinds of Artificial Intelligence Conclusion
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May 7, 2023
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Japan’s three major financial groups promote the introduction of AI chatbots
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April 22, 2023
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From Biology to Computing: An Introduction to Genetic Algorithms Background Notation & Terminology Algorithm Applications Weaknesses Summary & Thoughts References & Further Reading Connect With Me!
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April 21, 2023
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From Biology to Computing: An Introduction to Genetic Algorithms Background Notation & Terminology Algorithm Applications Weaknesses Summary & Thoughts References & Further Reading Connect With Me!
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April 21, 2023
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A Gentle Introduction to GPT Models Generative pre-trained language models 4 versions and lots of more subversions ChatGPT How you can use GPT models? Limitations of GPT models Conclusion
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April 17, 2023
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Introduction to Machine Learning What’s Machine Learning? Forms of Machine Leaning Constructing a Easy Machine Learning Model
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April 11, 2023
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Free MIT course Introduction to Computational Pondering and Data Science
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April 5, 2023
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Introduction to PyTorch: from training loop to prediction Install PyTorch and other dependencies Import and explore the dataset Create the datasets and dataloaders classes Training, validation and test datasets Data normalization Neural network implementation in PyTorch Utility functions for plotting and accuracy calculation Model training Neural network performance evaluation Create predictions Conclusions Really useful Reads Useful Links (written by me)
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April 1, 2023
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Introduction to PyTorch: from training loop to prediction
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March 28, 2023
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Recent products forecasting : Get out of the blur quicker with machine learning ! Recent products introduction is vital topic in Supply Chain management A Machine Learning approach to deal with latest products (re)forecasting Results and business case
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March 22, 2023
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